Two-photon imaging and analysis of neural network dynamics
Henry L\"utcke, Fritjof Helmchen

TL;DR
This paper reviews two-photon imaging technology and analysis methods for studying neural network dynamics at the mesoscopic level, aiming to advance understanding of local brain microcircuits.
Contribution
It provides a comprehensive overview of recent advances in two-photon microscopy, fluorescent indicators, staining, and data analysis techniques for neural network research.
Findings
Summarizes recent technological developments in two-photon microscopy.
Highlights new fluorescent indicators and staining methods.
Discusses analysis techniques for fluorescence data extraction.
Abstract
The glow of a starry night sky, the smell of a freshly brewed cup of coffee or the sound of ocean waves breaking on the beach are representations of the physical world that have been created by the dynamic interactions of thousands of neurons in our brains. How the brain mediates perceptions, creates thoughts, stores memories and initiates actions remains one of the most profound puzzles in biology, if not all of science. A key to a mechanistic understanding of how the nervous system works is the ability to analyze the dynamics of neuronal networks in the living organism in the context of sensory stimulation and behaviour. Dynamic brain properties have been fairly well characterized on the microscopic level of individual neurons and on the macroscopic level of whole brain areas largely with the help of various electrophysiological techniques. However, our understanding of the mesoscopic…
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